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Nikitha Kommidi
Mid-level AI/ML Engineer specializing in fraud detection, NLP, and MLOps
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About
Built a production real-time fraud detection and customer-support automation platform at Citibank, tackling extreme class imbalance (reported ~1:5000) and strict latency constraints. Combines hands-on MLOps (Airflow, Kubernetes, MLflow; Snowflake/Spark/S3 integrations; CI/CD model promotion) with cross-functional delivery to Risk & Compliance focused on interpretability and reducing false positives.
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Key Strengths
- Built and deployed a real-time enterprise fraud detection and customer-support automation system in production (Citibank)
- Expertise handling highly imbalanced fraud datasets (e.g., ~1:5000) using class weights and controlled undersampling
- Improved fraud pattern recognition via anomaly-detection and time-based feature engineering
- Optimized real-time inference latency by converting models to ONNX Runtime
- Production MLOps/orchestration experience: Airflow ETL/training pipelines, automated retraining/evaluation, CI/CD model promotion, Kubernetes scaling
- Able to translate ML outputs into business/compliance needs; partnered with Risk & Compliance to address interpretability requirements
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